£113.28

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Springer Foundations of Deep Learning - Machine Learning Guide

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Description

Foundations of Deep Learning is a comprehensive guide published by Springer that explores the essential principles and methodologies of deep learning within the broader context of machine learning. This book, part of the Machine Learning: Foundations, Methodologies, and Applications series, provides structured coverage of deep learning concepts, techniques, and practical applications. Whether you are new to artificial intelligence or seeking to deepen your understanding of neural networks and advanced algorithms, this resource bridges theoretical foundations with real-world implementation. The systematic approach helps readers grasp how deep learning drives modern AI solutions across various domains, from computer vision to natural language processing. Ideal for students, researchers, and professionals in computer science and AI fields.

Key Features

Covers deep learning fundamentals as part of Springer's Machine Learning series, providing authoritative coverage of core concepts and methodologies.

Structured exploration of machine learning foundations essential for understanding modern artificial intelligence systems and neural network architectures.

Published by Springer, a leading academic publisher, ensuring rigorous peer-reviewed content and professional-grade educational material.

Bridges theory and application, helping readers transition from foundational knowledge to practical deep learning implementation.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 February 2026
Listed Since
04 March 2026

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